Cargando…
Augmenting GPS IWV estimations using spatio-temporal cloud distribution extracted from satellite data
Water vapor (WV) is the most variable greenhouse gas in the troposphere, therefore investigation of its spatio-temporal distribution and motion is of great importance in meteorology and climatology studies. Here, we suggest a new strategy for augmenting integrated water vapor (IWV) estimations using...
Autores principales: | Leontiev, Anton, Reuveni, Yuval |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170415/ https://www.ncbi.nlm.nih.gov/pubmed/30283064 http://dx.doi.org/10.1038/s41598-018-33163-x |
Ejemplares similares
-
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl
por: McDuie, Fiona, et al.
Publicado: (2019) -
GPS satellite surveying
por: Leick, A
Publicado: (2004) -
GPS satellite surveying
por: Leick, Alfred, et al.
Publicado: (2015) -
Registration of spatio-temporal point clouds of plants for phenotyping
por: Chebrolu, Nived, et al.
Publicado: (2021) -
Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite for France
por: Omrani, Hichem, et al.
Publicado: (2020)